Sample size estimation for modified Poisson analysis of cluster randomized trials with a binary outcome.

ABSTRACT: The modified Poisson regression coupled with a robust sandwich variance has become a viable alternative to log-binomial regression for estimating the marginal relative risk in cluster randomized trials. However, a corresponding sample size formula for relative risk regression via the modified Poisson model is currently not available for cluster randomized trials. Through analytical derivations, we show that there is no loss of asymptotic efficiency for estimating the marginal relative risk via the modified Poisson regression relative to the log-binomial regression. This finding holds both under the independence working correlation and under the exchangeable working correlation provided a simple modification is used to obtain the consistent intraclass correlation coefficient estimate. There

SUBMITTER: Li F 

PROVIDER: S-EPMC9132618 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature